Publication in BibTeX Format

@TECHREPORT{AICPub440:1993,
AUTHOR={Fua, Pascal and Leclerc, Yvan G.},
TITLE={Object-Centered Surface Reconstruction: Combining Multi-Image Stereo and
Shading},
ADDRESS={333 Ravenswood Ave., Menlo Park, CA 94025},
INSTITUTION={AI Center, SRI International},
MONTH={Sep},
NUMBER={535},
YEAR={1993},
KEYWORDS={Stereo, Surface Reconstruction},
ABSTRACT={Our goal is to reconstruct both the shape and reflectance properties
of surfaces from multiple images. We argue that an object-centered representation
is most appropriate for this purpose becasue it naturally accomodates multiple
sources of data, multiple images (including motion sequences of a rigid object),
and self-occlusions. We then present a specific object-centered reconstruction
method and its implementation. The method begins with an initial estimate of
surface shape provided by triangulating the result of conventional stereo or
other means. The surface shape and reflectance properties are then iteratively
adjusted to minimize an objective function that combines information from multiple
input images. The objective function is a weighted sum of ``Stereo,’’
shading, and smoothness components, where the weight varies over the surface.
For example, the stereo componenet is weighted more strongly where the surface
projects onto highly textured areas in the images, and less strongly otherwise.
Thus, each component has its greatest influence where its accuracy is likely
to be greatest. Experimental results on both synthetic and real images are
presented.}
}